{"id":"W2785869540","doi":"10.1063/1.5027003","title":"Magnetic field dependent microwave losses in superconducting niobium microstrip resonators","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo; Canadian Institute for Advanced Research","funders":"Canada First Research Excellence Fund; Industry Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Condensed matter physics; Quasiparticle; Superconductivity; Vortex; Niobium; Resonator; Magnetic field; Physics; Penetration depth; Kinetic inductance; Meissner effect; Microwave; Microstrip; Materials science; Inductance; Optoelectronics; Optics; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003798025,0.0004159705,0.0002770989,0.0002248421,0.0003319526,0.0002618009,0.0005757888,0.0002258505,0.0009708506],"category_scores_gemma":[0.0007021349,0.0002708443,0.0001448915,0.0002034501,0.0004591934,0.0004690331,0.0003227576,0.0004292584,0.0002668865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003653104,"about_ca_system_score_gemma":0.0001691588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000406134,"about_ca_topic_score_gemma":0.0007083612,"domain_scores_codex":[0.9996318,0.00006103077,0.00001954461,0.00007758086,0.0001702732,0.00003974857],"domain_scores_gemma":[0.9995396,0.0001406831,0.0001356418,0.00009336299,0.00007435991,0.00001638752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005903346,0.00001147927,0.0002986743,0.00003371577,0.000003453031,0.00003956491,0.0000565534,0.0002853287,0.9980637,0.0002020978,0.00001582878,0.0009304652],"study_design_scores_gemma":[0.000008175827,0.0001423451,0.001542591,0.000002951429,0.000004805862,0.00004545192,0.00002008375,0.002593385,0.9951729,0.00006536231,0.0003968361,0.000005127204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773268,0.0002011228,0.02062433,0.00004548208,0.00001256359,0.00010013,0.0001369774,0.00009991368,0.001452578],"genre_scores_gemma":[0.9854044,0.0001884915,0.01304185,0.00001524504,0.000007128408,0.0001131188,0.00009272982,0.00005195063,0.001084909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009708506,"threshold_uncertainty_score":0.003247797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413171659366187,"score_gpt":0.2386859068535791,"score_spread":0.2245541902599172,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}